Mathematical Model for Determining the Degree of Propensity to Be Exposed to Cybercrime
https://doi.org/10.21822/2073-6185-2025-52-1-87-96
Abstract
Objective. The aim of the study is to develop a mathematical model for determining the relationship between cyber victimhood and the character traits inherent in victims of cyber fraud. The article describes the features of cyber fraud based on the psychological aspects of influence on the victim.
Method. The study is based on statistical methods related to determining the relationship between the degree of susceptibility to cyber crimes and the level of manifestation of the character traits of victims identified in the form of corresponding quantitative characteristics according to the Cattell test.
Result. A method is proposed for determining the coefficients that set the relative weights for the degree of manifestation of factors in the task of identifying susceptibility to a particular cyber crime. A mathematical model is proposed for assessing the level of cyber victimhood of a respondent in relation to a specific cyber crime depending on the magnitude of numerical values describing the personal characteristics studied using the Cattell test. The model introduces a numerical indicator that determines the criterion for the degree of susceptibility of the respondent to the cyber crime in question. Based on statistical data, the level of cyber victimization was calculated in terms of types of cyber fraud, such as phishing, vishing, online shopping fraud, for respondents who can be classified as victims and resistors of the relevant cyber crimes based on a set of personal characteristics.
Conclusion. The correspondence of the obtained numerical characteristics describing the level of cyber victimization of the respondent, his qualitative belonging to the number of victims or resistors for each type of cyber fraud was demonstrated.
About the Authors
I. V. Karpasyuk
Astrakhan State Technical University
Russian Federation
Russian Federation
Igor V. Karpasyuk, Cand. Sci. (Physics and Mathematics), Assoc. Prof., Assoc. Prof., Department of Higher and Applied Mathematics,
16 Tatishcheva St., Astrakhan 414056
A. I. Karpasyuk
Astrakhan State Technical University
Russian Federation
Russian Federation
Alexander I. Karpasyuk, Master's STudent, Department of Higher and Applied Mathematics,
16 Tatishcheva St., Astrakhan 414056
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Review
For citations:
Karpasyuk I.V., Karpasyuk A.I. Mathematical Model for Determining the Degree of Propensity to Be Exposed to Cybercrime. Herald of Dagestan State Technical University. Technical Sciences. 2025;52(1):87-96. (In Russ.) https://doi.org/10.21822/2073-6185-2025-52-1-87-96
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